com.intel.analytics.zoo.pipeline.api.keras.layers

KerasLayerWrapper

class KerasLayerWrapper[T] extends LayerWrapperByForward[T]

Wrap a torch style layer to keras style layer. This layer can be built multiple times.

returns

a keras compatible layer

Linear Supertypes
LayerWrapperByForward[T], Net, KerasLayer[Activity, Activity, T], Container[Activity, Activity, T], AbstractModule[Activity, Activity, T], InferShape, Serializable, Serializable, AnyRef, Any
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Inherited
  1. KerasLayerWrapper
  2. LayerWrapperByForward
  3. Net
  4. KerasLayer
  5. Container
  6. AbstractModule
  7. InferShape
  8. Serializable
  9. Serializable
  10. AnyRef
  11. Any
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Instance Constructors

  1. new KerasLayerWrapper(torchLayer: AbstractModule[Activity, Activity, T], inputShape: Shape = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

    torchLayer

    a torch style layer i.e If the input data is (2, 3, 4) and 2 is the batch size, you should input: (3, 4) here.

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. def accGradParameters(input: Activity, gradOutput: Activity): Unit

    Definition Classes
    KerasLayer → AbstractModule
  7. def apply(name: String): Option[AbstractModule[Activity, Activity, T]]

    Definition Classes
    Container → AbstractModule
  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  9. def backward(input: Activity, gradOutput: Activity): Activity

    Definition Classes
    AbstractModule
  10. var backwardTime: Long

    Attributes
    protected
    Definition Classes
    AbstractModule
  11. val batchInputShape: Shape

    Definition Classes
    LayerWrapperByForward
  12. def build(calcInputShape: Shape): Shape

    Definition Classes
    KerasLayer → InferShape
  13. def canEqual(other: Any): Boolean

    Definition Classes
    Container → AbstractModule
  14. final def checkEngineType(): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  15. def clearState(): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  16. final def clone(deepCopy: Boolean): AbstractModule[Activity, Activity, T]

    Definition Classes
    AbstractModule
  17. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  18. final def cloneModule(): AbstractModule[Activity, Activity, T]

    Definition Classes
    AbstractModule
  19. def computeOutputShape(calcInputShape: Shape): Shape

    Definition Classes
    LayerWrapperByForward → KerasLayer → InferShape
  20. def doBuild(inputShape: Shape): AbstractModule[Activity, Activity, T]

    Definition Classes
    KerasLayerWrapper → KerasLayer
  21. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  22. def equals(other: Any): Boolean

    Definition Classes
    Container → AbstractModule → AnyRef → Any
  23. final def evaluate(): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  24. final def evaluate(dataSet: LocalDataSet[MiniBatch[T]], vMethods: Array[_ <: ValidationMethod[T]]): Array[(ValidationResult, ValidationMethod[T])]

    Definition Classes
    AbstractModule
  25. final def evaluate(dataset: RDD[Sample[T]], vMethods: Array[_ <: ValidationMethod[T]], batchSize: Option[Int]): Array[(ValidationResult, ValidationMethod[T])]

    Definition Classes
    AbstractModule
  26. final def evaluateImage(imageFrame: ImageFrame, vMethods: Array[_ <: ValidationMethod[T]], batchSize: Option[Int]): Array[(ValidationResult, ValidationMethod[T])]

    Definition Classes
    AbstractModule
  27. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  28. def findModules(moduleType: String): ArrayBuffer[AbstractModule[_, _, T]]

    Definition Classes
    Container
  29. final def forward(input: Activity): Activity

    Definition Classes
    AbstractModule
  30. var forwardTime: Long

    Attributes
    protected
    Definition Classes
    AbstractModule
  31. def freeze(names: String*): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  32. def from[T](vars: Variable[T]*)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Variable[T]

    Build graph: some other modules point to current module

    Build graph: some other modules point to current module

    vars

    upstream variables

    returns

    Variable containing current module

    Definition Classes
    Net
  33. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  34. def getExtraParameter(): Array[Tensor[T]]

    Definition Classes
    Container → AbstractModule
  35. final def getInputShape(): Shape

    Definition Classes
    InferShape
  36. final def getName(): String

    Definition Classes
    AbstractModule
  37. final def getNumericType(): TensorDataType

    Definition Classes
    AbstractModule
  38. final def getOutputShape(): Shape

    Definition Classes
    InferShape
  39. def getParametersTable(): Table

    Definition Classes
    Container → AbstractModule
  40. final def getPrintName(): String

    Attributes
    protected
    Definition Classes
    AbstractModule
  41. final def getScaleB(): Double

    Definition Classes
    AbstractModule
  42. final def getScaleW(): Double

    Definition Classes
    AbstractModule
  43. def getTimes(): Array[(AbstractModule[_ <: Activity, _ <: Activity, T], Long, Long)]

    Definition Classes
    Container → AbstractModule
  44. final def getTimesGroupByModuleType(): Array[(String, Long, Long)]

    Definition Classes
    AbstractModule
  45. final def getWeightsBias(): Array[Tensor[T]]

    Definition Classes
    AbstractModule
  46. var gradInput: Activity

    Definition Classes
    AbstractModule
  47. final def hasName: Boolean

    Definition Classes
    AbstractModule
  48. def hashCode(): Int

    Definition Classes
    Container → AbstractModule → AnyRef → Any
  49. val inputShape: Shape

  50. def inputs(first: (ModuleNode[T], Int), nodesWithIndex: (ModuleNode[T], Int)*): ModuleNode[T]

    Definition Classes
    KerasLayer → AbstractModule
  51. def inputs(nodes: Array[ModuleNode[T]]): ModuleNode[T]

    Definition Classes
    KerasLayer → AbstractModule
  52. def inputs(nodes: ModuleNode[T]*): ModuleNode[T]

    Definition Classes
    KerasLayer → AbstractModule
  53. def isBuilt(): Boolean

    Definition Classes
    KerasLayer → InferShape
  54. def isFrozen[T]()(implicit arg0: ClassTag[T]): Boolean

    Definition Classes
    Net
  55. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  56. def isKerasStyle(): Boolean

    Definition Classes
    KerasLayer → InferShape
  57. final def isTraining(): Boolean

    Definition Classes
    AbstractModule
  58. def labor: AbstractModule[Activity, Activity, T]

    Definition Classes
    KerasLayer
  59. def labor_=(value: AbstractModule[Activity, Activity, T]): Unit

    Definition Classes
    KerasLayer
  60. var line: String

    Attributes
    protected
    Definition Classes
    AbstractModule
  61. final def loadModelWeights(srcModel: Module[Float], matchAll: Boolean): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  62. final def loadWeights(weightPath: String, matchAll: Boolean): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  63. val modules: ArrayBuffer[AbstractModule[Activity, Activity, T]]

    Definition Classes
    Container
  64. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  65. final def notify(): Unit

    Definition Classes
    AnyRef
  66. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  67. var output: Activity

    Definition Classes
    AbstractModule
  68. def parameters(): (Array[Tensor[T]], Array[Tensor[T]])

    Definition Classes
    Container → AbstractModule
  69. final def predict(dataset: RDD[Sample[T]], batchSize: Int, shareBuffer: Boolean): RDD[Activity]

    Definition Classes
    AbstractModule
  70. final def predictClass(dataset: RDD[Sample[T]], batchSize: Int): RDD[Int]

    Definition Classes
    AbstractModule
  71. final def predictImage(imageFrame: ImageFrame, outputLayer: String, shareBuffer: Boolean, batchPerPartition: Int, predictKey: String, featurePaddingParam: Option[PaddingParam[T]]): ImageFrame

    Definition Classes
    AbstractModule
  72. def processInputs(first: (ModuleNode[T], Int), nodesWithIndex: (ModuleNode[T], Int)*): ModuleNode[T]

    Attributes
    protected
    Definition Classes
    AbstractModule
  73. def processInputs(nodes: Seq[ModuleNode[T]]): ModuleNode[T]

    Attributes
    protected
    Definition Classes
    AbstractModule
  74. final def quantize(): Module[T]

    Definition Classes
    AbstractModule
  75. def release(): Unit

    Definition Classes
    Container → AbstractModule
  76. def reset(): Unit

    Definition Classes
    Container → AbstractModule
  77. def resetTimes(): Unit

    Definition Classes
    Container → AbstractModule
  78. final def saveCaffe(prototxtPath: String, modelPath: String, useV2: Boolean, overwrite: Boolean): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  79. final def saveDefinition(path: String, overWrite: Boolean): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  80. final def saveModule(path: String, weightPath: String, overWrite: Boolean): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  81. final def saveTF(inputs: Seq[(String, Seq[Int])], path: String, byteOrder: ByteOrder, dataFormat: TensorflowDataFormat): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  82. final def saveTorch(path: String, overWrite: Boolean): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  83. final def saveWeights(path: String, overWrite: Boolean): Unit

    Definition Classes
    AbstractModule
  84. var scaleB: Double

    Attributes
    protected
    Definition Classes
    AbstractModule
  85. var scaleW: Double

    Attributes
    protected
    Definition Classes
    AbstractModule
  86. final def setExtraParameter(extraParam: Array[Tensor[T]]): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  87. final def setLine(line: String): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  88. final def setName(name: String): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  89. def setScaleB(b: Double): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  90. def setScaleW(w: Double): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  91. final def setWeightsBias(newWeights: Array[Tensor[T]]): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
  92. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  93. def toGraph(startNodes: ModuleNode[T]*): Graph[T]

    Definition Classes
    AbstractModule
  94. def toString(): String

    Definition Classes
    AbstractModule → AnyRef → Any
  95. val torchLayer: AbstractModule[Activity, Activity, T]

    a torch style layer i.

    a torch style layer i.e If the input data is (2, 3, 4) and 2 is the batch size, you should input: (3, 4) here.

  96. var train: Boolean

    Attributes
    protected
    Definition Classes
    AbstractModule
  97. final def training(): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  98. def unFreeze(names: String*): KerasLayerWrapper.this.type

    Definition Classes
    Container → AbstractModule
  99. def updateGradInput(input: Activity, gradOutput: Activity): Activity

    Definition Classes
    KerasLayer → AbstractModule
  100. def updateOutput(input: Activity): Activity

    Definition Classes
    KerasLayer → AbstractModule
  101. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  102. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  103. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  104. def zeroGradParameters(): Unit

    Definition Classes
    AbstractModule

Deprecated Value Members

  1. final def save(path: String, overWrite: Boolean): KerasLayerWrapper.this.type

    Definition Classes
    AbstractModule
    Annotations
    @deprecated
    Deprecated

    (Since version 0.3.0) please use recommended saveModule(path, overWrite)

Inherited from LayerWrapperByForward[T]

Inherited from Net

Inherited from KerasLayer[Activity, Activity, T]

Inherited from Container[Activity, Activity, T]

Inherited from AbstractModule[Activity, Activity, T]

Inherited from InferShape

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped